scholarly journals Energy Efficient Motion Design and Task Scheduling for an Autonomous Vehicle

2019 ◽  
Vol 1 (1) ◽  
pp. 2853-2862
Author(s):  
Elias Xidias ◽  
Philip Azariadis
Keyword(s):  
Task Scheduling ◽  
Energy Efficient ◽  
Autonomous Vehicle ◽  
Industrial Sector ◽  
Pareto Optimum ◽  
Optimization Strategy ◽  
Modified Genetic Algorithm ◽  
Pareto Optimum Solution ◽  
Optimum Solution ◽  
And Task

AbstractThis paper describes an approach for designing an energy efficient motion and task scheduling for an autonomous vehicle which is moving in complicated environments in industrial sector or in large warehouses. The vehicle is requested to serve a number of workstations while moving safely and efficiently in the environment. In the proposed approach, the overall problem is formulated as a constraint optimization problem by using the Bump-Surface concept. Then, a Pareto-based multi- objective optimization strategy is adopted, and a modified genetic algorithm is developed to determine the Pareto optimum solution. The efficiency of the developed method is investigated and discussed through simulated experiments.

scholarly journals One Welfare State for Europe: A Costly Utopia?

2004 ◽  
Vol 4 (2) ◽  
pp. 1850020 ◽  
Author(s):  
Peter Hennessy ◽  
Thierry Warin
Keyword(s):  
Social Program ◽  
Pareto Optimum ◽  
Gdp Growth ◽  
The European Union ◽  
Social Expenditure ◽  
Asymmetric Shocks ◽  
Pareto Optimum Solution ◽  
Future Policy ◽  
Optimum Solution ◽  
Social Expenditures

This paper addresses the question of the social policy harmonization in the European Union. In adopting a common monetary policy, Europe is faced with structural and fiscal concerns, as national growth levels differ. Another possible factor in output shocks are the levels of various social expenditures in the member countries. OECD data on the level of social program expenditures in four EU countries will be compared to fluctuations in GDP growth to identify existing relationships. Significant relationships between independent social expenditure policy and GDP growth shocks suggest structural harmonization as an improvement if Europe is to take full advantage of the common market. However, the effects of expenditure levels may be easier to identify and predict than the dynamic effects of policy change. As the effects of future policy changes are more difficult to ascertain, harmonization may not consistently appear to be a Pareto-optimum solution to asymmetric shocks.

scholarly journals Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Inci Saricicek ◽  
◽  
Sinem Bozkurt Keser ◽  
Azmi Cibi ◽  
Tahir Ozdemir ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Energy Efficient ◽  
Simulated Annealing Algorithm ◽  
Test Problems ◽  
Energy Efficient Routing ◽  
Logistics Industry ◽  
Routing And Scheduling ◽  
Trade Offs ◽  
Hybrid Simulated Annealing ◽  
And Task

Autonomous Transfer Vehicles (ATVs) are becoming increasingly prevalent in intra logistics. Industry 4.0 is bringing us closer to the efficient routing and scheduling of autonomous multi robot systems which perform transportation tasks. In this study, an energy efficient routing and scheduling system is proposed to minimize the total energy that the vehicles spend. Not only travelled distance but also the load of the vehicle is considered between two points. The routes of vehicles are obtained by using the proposed Hybrid Simulated Annealing Algorithm. An algorithm for the initial solution is also proposed for determining of the minimum number of vehicles for pickup and delivery requests. The performance of the algorithm is compared with the best solutions of the test problems in the literature. Besides, the proposed energy efficient routing and task scheduling model is compared with the classical distance model for routing and scheduling with backhauls. An analysis of trade-offs between energy and distance is proposed for intra logistics.

Fundamental Concepts for Product Designs Based on Pareto Optimum Solutions

2011 ◽  
Author(s):  
Masataka Yoshimura
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimal Designs ◽  
Pareto Optimum ◽  
Design Problems ◽  
Solution Sets ◽  
Pareto Optimum Solution ◽  
Design Solutions ◽  
Articulated Robots ◽  
Optimum Solution

This paper proposes fundamental concepts for goal-defined product designs, and practical methodologies for achieving optimal designs based these concepts. Also emphasized are the functions and significance of Pareto optimum solution sets in multi-objective optimizations during the execution of the proposed methodologies. Three main concepts for product design optimization are presented. First, the goal of the product design optimization is specified to obtain the best harmony of related (and often conflicting) characteristics, where Pareto optimum solution sets represent this harmony and more preferable degrees of harmony cause an increase in social profit. Second, to obtain design solutions that maximize the desired harmony, deeper level characteristics in the design optimization problem are derived based on simplification or decomposition of the usual surface level characteristics, and optimizations are initiated from these deeper levels where the most important and influential aspects of the design problems are easiest to recognize. The third concept entails the use of collaboration with specialist experts concerning the product characteristics, focusing on Pareto optimum solution sets obtained in deeper level optimizations, so that these experts can facilitate the development of more preferable results based on their own ideas and knowledge. The interrelationships between the second and third concepts are described and used to obtain globally optimal design solutions that have the highest degree of harmony for the required product design objectives. The proposed concepts and methodologies for product design optimizations are demonstrated using certain designs for articulated robots.

Concurrent Product Design Based on Simultaneous Processing of Design and Manufacturing Information by Utility Analysis

1995 ◽  
Author(s):  
Masataka Yoshimura ◽  
Hideyuki Kondo
Keyword(s):  
Product Design ◽  
Design Procedure ◽  
Product Performance ◽  
Pareto Optimum ◽  
Manufacturing Cost ◽  
Utility Analysis ◽  
Satisfactory Level ◽  
Pareto Optimum Solution ◽  
Product Manufacturing ◽  
Optimum Solution

Abstract A methodology for concurrent decision making of factors concerning product design and product manufacturing is proposed for obtaining better product designs from a wider global viewpoint of the product performance and the product manufacturing cost according to the concept of concurrent engineering. In this method, first, a function expressing the satisfactory level of the manufacturing division and a function expressing the satisfactory level of the design division are formulated for the product design being regarded. Then, an integrated higher ranking decision making utility function is formulated using these two satisfactory level functions by the utility analysis. Next, Pareto optimum solution sets of the two multiobjective optimization problems of maximization of the product performance and minimization of the product manufacturing cost are obtained for alternative product designs. Finally, on the Pareto optimum solution curves, the values of the integrated satisfactory levels are obtained and the most preferable design solution is selected. An applied example of this concurrent design procedure is given to demonstrate it’s effectiveness in comparison to a conventional design procedure.

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